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2.
Exploring the Effects of Frontalization and Data Synthesis on Face Recognition
by Banerjee, Sandipan, Ph.D.  University of Notre Dame. 2019: 189 pages; 27750532.
3.
Security system with motion detection and face recognition
by Patel, Ravi L., M.S.  California State University, Long Beach. 2017: 40 pages; 10251645.
4.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
5.
Face Recognition Technique for Blurred/Unclear Images
by Visweswaran, Krishnan, M.S.  California State University, Long Beach. 2017: 33 pages; 10263528.
6.
A face recognition-based attendance system
by Vuyyuru, Samrat Ashok Reddy, M.S.  California State University, Long Beach. 2016: 46 pages; 10142977.
7.
Sparse dictionary learning and domain adaptation for face and action recognition
by Qiu, Qiang, Ph.D.  University of Maryland, College Park. 2013: 150 pages; 3587452.
8.
The importance of not being mean: DFM—a norm-referenced data model for face pattern recognition
by Kite, Lawrence Marc, Ph.D.  University of Southern California. 2009: 143 pages; 3355391.
9.
R-Eye: An image processing-based embedded system for face detection and tracking
by Patel, Brindal A., M.S.  California State University, Long Beach. 2016: 41 pages; 10141532.
10.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
12.
Visual Speech Perception of Arabic Emphatics and Gutturals
by Foster, Maha Saliba, Ph.D.  University of Colorado at Boulder. 2016: 170 pages; 10151052.
13.
Speech Emotion Recognition With Gender Recognition Subsystem
by Modi, Deep B., M.S.  California State University, Long Beach. 2017: 43 pages; 10263113.
14.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
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16.
How Do Expertise and Realism Moderate the Boundary between Real and Digital Faces?
by Day, Jennifer, Ph.D.  University of California, Santa Cruz. 2019: 131 pages; 13896678.
19.
Visual Representations for Fine-grained Categorization
by Zhang, Ning, Ph.D.  University of California, Berkeley. 2015: 83 pages; 10086169.
20.
The role of human recognition in economic development: Theory, measurement, and evidence
by Castleman, Joshua (Tony), Ph.D.  The George Washington University. 2009: 334 pages; 3344750.
24.
Evaluating the performance of iPhoto facial recognition at the biometric verification task
by Patmore, Keegan P., M.S.  Colorado State University. 2012: 28 pages; 1511042.
26.
Thinking-for-Speaking and the EFL Mind: Face-to-Face Dialogue to Talk about Vertical Space
by Kunisawa, Tae, Ph.D.  The University of New Mexico. 2017: 307 pages; 10642449.
27.
Communication at Tradeshows—Face-to-Face versus Online
by Powers, Megan C., M.A.  Gonzaga University. 2014: 97 pages; 1558792.
28.
Automatic Age Estimation from Real-World and Wild Face Images by Using Deep Neural Networks
by Qawaqneh, Zakariya, Ph.D.  University of Bridgeport. 2017: 99 pages; 10689195.
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